51 citations · 196 across the 44 of their papers we have counts for
3 papers · 1 filter
Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning
Edward Schmerling, Marco Pavone
This paper presents a tool for addressing a key component in many algorithms for planning robot trajectories under uncertainty: evaluation of the safety of a robot whose actions ar…
Real-Time Stochastic Kinodynamic Motion Planning via Multiobjective Search on GPUs
Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi +1
In this paper we present the PUMP (Parallel Uncertainty-aware Multiobjective Planning) algorithm for addressing the stochastic kinodynamic motion planning problem, whereby one seek…
Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics
Joseph A. Starek, Edward Schmerling, Gabriel D. Maher +2
This paper presents a sampling-based motion planning algorithm for real-time and propellant-optimized autonomous spacecraft trajectory generation in near-circular orbits. Specifica…